Bigger models aren’t driving the next wave of AI innovation. The real disruption is quieter: Standardization. Launched by Anthropic in November 2024, the Model Context Protocol (MCP) standardizes how ...

Model Context Protocol (MCP) is becoming the most common interface to connect AI applications to enterprise systems like Gmail, Google Drive, GitHub and Salesforce. The goal is to give AI and AI ...

Chatbots have been mere question-answering agents. Now, AI agents have been able to analyze data, make decisions automatically, and engage with real-world systems. For AI agents to be beneficial in a ...

In the evolving blockchain environments, there is an increasing need for real-time intelligence, protected data access, and self-managed decision-making systems. There is a new design concept emerging ...

The Model Context Protocol (MCP) enables AI agents to interact with external tools across hybrid environments but introduces critical security vulnerabilities, including identity theft, data leakage, ...

In this article, we will explore the hot topic of securing AI-generated code and demonstrate a technical approach to shifting ...

Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely. Every new protocol introduces its own complexities.

Two critical remote code execution vulnerabilities in the Model Context Protocol (MCP) ecosystem have laid bare the hidden risks lurking in what's quickly becoming AI's new backbone infrastructure.

What if you could hand over the tedious, error-prone task of building complex workflows to an AI that not only understands your needs but also executes them with precision? Enter n8n’s Model Context ...